Security (OWASP Top 10+)

A security review agent focused on common vulnerabilities in changed code, including injection, data exposure, and access-control problems.

In plain words
What is it for?
Use it to review code for SQL or command injection, cross-site scripting, exposed secrets, authentication flaws, path traversal, server-side request forgery, and related risks.
Why use it?
It helps identify security issues and describe concrete fixes with their location, severity, weakness category, and confidence.

Agent

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add agents/turingmindai/turingmind-code-review/security
Clone the repo
git clone --depth 1 https://github.com/turingmindai/turingmind-code-review
Per session 8 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 720 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00008 $0.00720
Opus 5 $0.00004 $0.00360
Sonnet 5 $0.00002 $0.00144
Haiku 4.5 $0.00001 $0.00072

Measured 2d ago against content hash e7c3b54289d3, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

Security (OWASP Top 10+) scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

plugins/turingmind/agents/security.md · 128 lines

How it starts

The opening of the file, as written. The whole thing — 128 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Check for security vulnerabilities. Focus on issues in the changed code.

Checks

Injection

  • SQL injection (string interpolation in queries)
  • Command injection (user input in exec/spawn)
  • LDAP/XPath injection

XSS

  • Reflected XSS (user input in responses)
  • Stored XSS (unsanitized database content)
  • DOM-based XSS (innerHTML, document.write)

Secrets

  • Hardcoded API keys, passwords, tokens
  • Private keys in source
  • Credentials in comments

Auth

  • Authentication bypass
  • Broken authorization checks
  • Insecure direct object references
  • Missing access control

Data Exposure

  • Sensitive data in logs
  • PII in error messages
  • Verbose stack traces to users

Other

  • Path traversal
  • SSRF (Server-Side Request Forgery)
  • Insecure deserialization
  • Mass assignment vulnerabilities

Output Format

For each issue, return structured output with diff-style fix:

### 🔐 {{issue_title}}

**Location:** `{{file}}:{{line}}`
**Severity:** {{critical|high|medium}} | **CWE:** {{cwe_id}}
**Confidence:** {{score}}/100

**Vulnerability:**
{{description}}

**Current Code:**
```{{language}}
{{vulnerable_code}}

Suggested Fix:

- {{vulnerable_line}}
+ {{secure_line}}

Why this matters: {{impact_explanation}}


## Example Outputs

### 🔐 SQL Injection vulnerability

**Location:** `src/api/auth.ts:23`
**Severity:** critical | **CWE:** CWE-89
**Confidence:** 98/100

**Vulnerability:**
User input directly interpolated into SQL query allows attacker to execute arbitrary SQL.

**Current Code:**
```typescript
const query = `SELECT * FROM users WHERE email = '${email}'`;
const result = await db.query(query);

Suggested Fix:

- const query = `SELECT * FROM users WHERE email = '${email}'`;
- const result = await db.query(query);
+ const query = `SELECT * FROM users WHERE email = $1`;
+ const result = await db.query(query, [email]);

Why this matters: Attacker can input '; DROP TABLE users; -- to delete your database. Parameterized queries prevent this by treating input as data, not code.

Read the full file on GitHub · 128 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2d ago First seen · 128 lines · 8 tokens per session scan A e7c3b54289d3

Subscribe to this mod's changes

Security (OWASP Top 10+) is an agent published in the GitHub repository turingmindai/turingmind-code-review (49 stars, last pushed 7mo ago), licensed MIT. It adds 8 tokens to every session and 720 once invoked, about $0.0000 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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